Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Leads and scales Fireworks’ SDR function, hiring and coaching representatives while owning pipeline, conversion, quota, and performance metrics. Builds inbound and outbound playbooks, partners with Marketing, Sales, and RevOps, and develops AI-powered workflows for research, prioritization, personalization, and reporting. Establishes processes, dashboards, routing, forecasting, and handoff criteria to improve sales development efficiency and generate qualified opportunities.

Own full-cycle recruiting for Sales, Marketing, Partnerships, Solutions Engineering, and Customer Success. Partner with GTM leaders and executives on hiring strategy, candidate profiles, talent pipelines, market mapping, and compensation alignment. Source and engage high-caliber talent through outreach, networking, referrals, and AI-powered tools. Help optimize recruiting operations, tooling, analytics, and scalable, inclusive hiring processes.

Own and expand a portfolio of GenAI-native startup accounts. Identify prospects, engage founders and technical leaders, lead technical product discussions, coordinate onboarding and integrations, and develop tailored solutions and proofs of concept. Track usage to uncover expansion opportunities, represent Fireworks in the AI ecosystem, and translate customer feedback into product and engineering improvements. The role requires credible understanding of AI infrastructure, model serving, APIs, inference, tuning, and GPU architecture.

Lead, coach, and scale a team of account executives selling AI infrastructure to GenAI-native startups. Own new business, consumption growth, pipeline, forecasting, technical sales motions, evaluations, POCs, and production expansion. Partner cross-functionally with product, engineering, applied AI, marketing, RevOps, and recruiting. Hire and ramp sales talent, improve operating rhythms, represent the company in the GenAI ecosystem, and translate customer patterns into product feedback.

Drive adoption of Fireworks among strategic AI companies by leading technical discovery, customer evaluations, proofs of concept, onboarding, production deployments, and complex commercial negotiations. Build relationships with founders, ML engineers, infrastructure leaders, and executives; coordinate with Field Engineering, Applied AI, Product, and Research teams; identify prospects through networks and events; and manage customer partnerships from initial engagement through scaled production.

Build sales pipeline by prospecting target accounts, qualifying inbound leads, conducting personalized outreach across email, calls, and LinkedIn, and transitioning qualified opportunities to Account Executives. Educate prospects on AI inference solutions, collaborate with Sales and Marketing to refine messaging, and stay current on AI and machine learning trends to support informed conversations with technical and business stakeholders.

Design and operate the go-to-market technology stack, integrating Salesforce, HubSpot, Gong, Clay, and other tools. Build automations, improve data quality, maintain CRM governance, and ensure reliable data flows and reporting. Partner with sellers and GTM leaders to optimize workflows, drive tool adoption, support onboarding, reduce manual work, and translate engagement signals into sales action. Experiment with AI-driven workflows to improve revenue productivity.

Own and grow a portfolio of GenAI startup accounts by identifying prospects, leading technical conversations, coordinating onboarding and integrations, shaping tailored solutions and proofs of concept, and finding expansion opportunities through usage data. The role requires credibility with founders, engineers, and executives, plus the ability to explain AI infrastructure topics such as inference, APIs, model tuning, and GPU architecture. The Account Executive also represents Fireworks across the GenAI ecosystem and translates customer feedback into product insights.

Own the technical privacy program by building automation for data subject requests, data inventories, ROPA, retention, deletion, consent, and control monitoring. Conduct privacy reviews, trace AI data flows, validate zero-retention and isolation claims, and advise engineering on privacy-by-design practices. The role requires SQL, scripting, cloud-environment knowledge, GDPR and CCPA/CPRA expertise, and experience with privacy operations, automation, and compliance frameworks.

Own day-to-day GRC operations, including access reviews, security awareness, policy exceptions, risk assessments, third-party risk, internal audits, control monitoring, and audit evidence automation. Maintain policies, metrics, and audit readiness across SOC 2, HIPAA, ISO, NIST, GDPR, and CCPA frameworks. Partner with engineering, IT, legal, operations, and sales to operationalize controls and remediate findings, with opportunities to lead audits and mature the compliance program.